Data Lakes Market Size, Share, Growth & Forecast 2032

Data Lakes Market

Data Lakes Market - By Software Type (Data Integration and Management, Data Discovery, Data Visualization, and Data Lakes Analytics), By Deployment (Cloud-Based and On-premise), By Vertical (IT and Telecom, BFSI, Healthcare, Retail, Manufacturing and Others), and By Region: Global Industry Perspective, Comprehensive Analysis and Forecast, 2024 - 2032

Category: Technology & Media Report Format : PDF Pages: 190 Report Code: ZMR-767 Published Date: Oct-2024 Status : Published
Market Size in 2023 Market Forecast in 2032 CAGR (in %) Base Year
USD 18.73 Billion USD 130.54 Billion 24.08% 2023

Data Lakes Market

Data Lakes Market Insights

Zion Market Research has published a report on the global Data Lakes Market, estimating its value at USD 18.73 Billion in 2023, with projections indicating that it will reach USD 130.54 Billion by 2032. The market is expected to expand at a compound annual growth rate (CAGR) of 24.08% over the forecast period 2024-2032.

The report explores the factors fueling market growth, the hitches that could hamper this expansion, and the opportunities that may arise in the Data Lakes industry. Additionally, it offers a detailed analysis of how these elements will affect market demand dynamics and market performance throughout the forecast period.

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Global Data Lakes Market: Overview

A significant volume of data is being generated on a regular basis on digital information platforms. 2.5 quintillion bytes of data is generated every day according to IBM. The need for powerful data storage systems is generated by this explosive volume of data. Data lakes are storage systems that in their raw form, can hold huge amounts of data. Data scientists and researchers will further use this unstructured data for remodeling and converting it into diversified data sets for further use.

As this storage paradigm supports numerous distributions and workloads of different sizes and styles, Data Lake also tends to increase business agility. This allows the data scientist in one logical storage pool to centralize large data from different applications. It may include multiple data types, including metadata, audio, video, and databases.

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Global Data Lakes Market: Growth Factors

The main reason why the global data lakes market is boosting is due the low cost of storage. The data warehouses and data lakes perform the same function but execute it differently. They both do the job of data storage but are different in terms of cost. Data lakes need a low cost for storing data. And this is the major factor boosting the global data lakes market growth. The highly agile nature is also a key factor in the global data lakes market.

Moreover, the ability to configure and reconfigure as needed is driving the global data lakes market growth. Other factors elevating the growth of the global market are low labor costs, low maintenance costs, and low costs for raw materials.

Global Data Lakes Market: Segmentation

The Data Lakes market is fragmented based on software type, deployment, verticals, and region.

By software type, the market is divided into data integration and management, data discovery, data visualization, and data lake analytics.

On the basis of deployment, the Data Lakes market includes cloud-based and on-premise.

Verticals segment is segmented into IT and Telecom, BFSI, Healthcare, Retail, Manufacturing and Others. It is expected that the banking industry will grow dramatically. In addition to the traditionally used data warehouse, the State Bank of India (SBI) has been supplying data lakes to bank executives, deputy managing director and chief information to provide on-the-go analytics. The growth in digital purchases by customers globally raises the volume of data deposited with banks with each transaction. Opportunities for big-data analytics are now increasing.

Data Lakes Market: Report Scope

Report Attributes Report Details
Report Name Data Lakes Market
Market Size in 2023 USD 18.73 Billion
Market Forecast in 2032 USD 130.54 Billion
Growth Rate CAGR of 24.08%
Number of Pages 190
Key Companies Covered Atos SE, Capgemini SA, Dell EMC, Hitachi Data Systems, Informatica, Microsoft Corporation, Oracle Corporation, SAP SE, Teradata,  and Others among others
Segments Covered By Software Type, By Deployment, By Verticals, and By Region
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA)
Base Year 2023
Historical Year 2018 to 2022
Forecast Year 2024 - 2032
Customization Scope Avail customized purchase options to meet your exact research needs. Request For Customization

Global Data Lakes Market: Regional Analysis

The global data lakes market is spread across North America, Europe, Asia Pacific, South America, and the Middle East and Africa. The U.S. in North America and European countries such as Germany also plays a vital role in the elevation of growth of global data lakes market.

On the other hand, South America is said to rule the global data lakes market in the near future. Asia Pacific is said to be the fastest growing network for the global market owing to countries such as China and India which are adopting the new technologies.

Global Data Lakes Market: Competitive Landscape

Some main players of the Data Lakes market are:

  • Atos SE
  • Capgemini SA
  • Dell EMC
  • Hitachi Data Systems
  • Informatica
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Teradata
  • Others among others.

The Global Data Lakes Market is segmented as follows:

By Software Type 

  • Data Integration And Management
  • Data Discovery 
  • Data Visualization
  • Data Lakes Analytics

By  Deployment 

  • Cloud-Based
  • On-premise 

By Vertical 

  • IT and Telecom
  • BFSI
  • Healthcare 
  • Retail
  • Manufacturing and Others

Data Lakes Market: Regional Segment Analysis

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

Methodology

FrequentlyAsked Questions

Data lakes are storage systems for large volumes of raw data. They allow flexible data processing and analytics.
The global Data Lakes market is expected to be driven by the increasing big data volumes, need for centralized data storage, and AI-driven analytics. Cloud adoption and digital transformation support demand.
According to study, the global Data Lakes market size was worth around USD 18.73 Billion in 2023 and is predicted to grow to around USD 130.54 Billion By 2032.
The global Data Lakes market is expected to grow at a Compound Annual Growth Rate (CAGR) of around CAGR 24.08% during the forecast period from 2024-2032.
The global Data Lakes industry is projected to be challenged by Challenges include data governance issues, security risks, and difficulty in maintaining data quality at scale.
The Opportunities include big data analytics adoption, AI/ML workloads, cloud migration, and demand for centralized enterprise data platforms will offer significant growth opportunities in the Data Lakes market.
Cloud-native and lakehouse architectures; real-time data ingestion and governance tools; AI-driven analytics on unified data platforms are the emerging trends and innovations impacting the Data Lakes market.
The global Data Lakes market is expected to be led by North America during the forecast period.
Some of the prominent players operating in the global Data Lakes market are; Atos SE, Capgemini SA, Dell EMC, Hitachi Data Systems, Informatica, Microsoft Corporation, Oracle Corporation, SAP SE, Teradata, and Others among others and others.
The report explores crucial aspects of the Data Lakes market, including a detailed discussion of existing growth factors and restraints, while also browsing future growth opportunities and challenges that impact the market.
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